Influencer Discovery
tigerless-labs/influencer-discovery
Find the bloggers/creators who can help promote your work, capture their contact info, and append them to the target sheet in Google Sheets.
Research influencers on Instagram, TikTok, and X/Twitter through your browser
$ npx skills add vellum-ai/vellum-assistant --skill influencer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install vellum-ai/vellum-assistant influencer --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/vellum-ai/vellum-assistant.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/influencer .claude/skills/influencer && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "influencer" agent skill from https://github.com/vellum-ai/vellum-assistant/tree/main/skills/influencer into .claude/skills/influencer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "influencer", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/vellum-ai/vellum-assistant/tree/main/skills/influencerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add vellum-ai/vellum-assistant --skill influencer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install vellum-ai/vellum-assistant influencer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vellum-ai/vellum-assistant.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/influencer .agents/skills/influencer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "influencer" agent skill from https://github.com/vellum-ai/vellum-assistant/tree/main/skills/influencer into .agents/skills/influencer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "influencer", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add vellum-ai/vellum-assistant --skill influencer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install vellum-ai/vellum-assistant influencer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vellum-ai/vellum-assistant.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/influencer .cursor/skills/influencer && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "influencer" agent skill from https://github.com/vellum-ai/vellum-assistant/tree/main/skills/influencer into .cursor/skills/influencer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "influencer", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/vellum-ai/vellum-assistant.git --path skills/influencer--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add vellum-ai/vellum-assistant --skill influencer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install vellum-ai/vellum-assistant influencer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vellum-ai/vellum-assistant.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/influencer .gemini/skills/influencer && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "influencer" agent skill from https://github.com/vellum-ai/vellum-assistant/tree/main/skills/influencer into .gemini/skills/influencer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "influencer", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install vellum-ai/vellum-assistant influencerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add vellum-ai/vellum-assistant --skill influencer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/vellum-ai/vellum-assistant.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/influencer .github/skills/influencer && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "influencer" agent skill from https://github.com/vellum-ai/vellum-assistant/tree/main/skills/influencer into .github/skills/influencer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "influencer", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add vellum-ai/vellum-assistant --skill influencer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install vellum-ai/vellum-assistant influencer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vellum-ai/vellum-assistant.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/influencer .opencode/skills/influencer && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "influencer" agent skill from https://github.com/vellum-ai/vellum-assistant/tree/main/skills/influencer into .opencode/skills/influencer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "influencer", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
influencerResearch influencers on Instagram, TikTok, and X/Twitter through your browser
Influencer is an agent skill from vellum-ai/vellum-assistant. Research influencers on Instagram, TikTok, and X/Twitter through your browser
Its SKILL.md is about 980 tokens, which your agent loads only when the skill is triggered. The skill folder holds 18 other files, including scripts (for example `README.md`, `scripts/__tests__/influencer-compare.test.ts` and `scripts/__tests__/influencer-intent.test.ts`). Compatibility notes: Designed for Vellum personal assistants
It sits in Marketing & SEO, covering Influencer and creator marketing. It works with Instagram, TikTok, X (Twitter) and Bash. The repository describes itself as: An AI Assistant that’s easy to setup, does your work 24/7, knows your preferences and gets better over time. The licence is MIT.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 33cc983. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 13 files in scripts/ (TypeScript), which the agent can run.
Shell commands in SKILL.md call:
bunFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
instagram.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Designed for Vellum personal assistants
From compatibility in the SKILL.md frontmatter.
Influencer loads about 982 tokens when it runs. Until then it costs about 22 tokens; SKILL.md has 275 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from vellum-ai/vellum-assistant at commit 33cc983, republished under its MIT licence (© vellum-ai). 275 words, ~982 tokens.
.claude/skills/influencer/SKILL.md (or your agent's skills folder). This skill also uses 14 other files; get the full folder from GitHub.Use browser automation for collection and host_bash helper scripts for deterministic parsing, scoring, and comparison. All browser operations are executed through the assistant browser CLI, invoked via host_bash.
host_bash for assistant browser CLI commands and helper scripts in scripts/.Use deterministic routing when intent is unclear:
bun {baseDir}/scripts/influencer-intent.ts --request "<latest user request>" --has-candidates <true|false> --has-shortlist <true|false>Use returned step to route to discover, enrich_profile, or compare_shortlist.
discover)assistant browser --session influencer --json snapshot
assistant browser --session influencer --json extract --include-linksbun {baseDir}/scripts/influencer-parse-candidates.ts --platform instagram --input-json '<json payload with extracted text/links>'assistant browser --session influencer scroll + assistant browser --session influencer wait-for to load additional candidates.bun {baseDir}/scripts/influencer-parse-candidates.ts --platform tiktok --input-json '<json payload with extracted text>'f=user).assistant browser --session influencer --json snapshot
assistant browser --session influencer --json extract --include-linksbun {baseDir}/scripts/influencer-parse-candidates.ts --platform twitter --input-json '<json payload with extracted text/links>'enrich_profile)For each selected candidate profile:
bun {baseDir}/scripts/influencer-score.ts --query "<user query>" --min-followers <n> --max-followers <n> --verified-only <true|false> --input-json '<json payload with profiles>'bun {baseDir}/scripts/influencer-theme-extract.ts --bio "<bio>" --query "<user query>"compare_shortlist)Generate deterministic comparison output:
bun {baseDir}/scripts/influencer-compare.ts --limit <n> --input-json '<json payload with profiles and criteria>'Present results grouped by platform with:
assistant browser --session influencer --json snapshot.{
"phase": "discover",
"context": { "platform": "instagram" },
"extracted": {
"text": "...",
"links": ["https://www.instagram.com/example/"]
},
"userIntent": "find fitness creators"
}© vellum-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 14 other files (scripts) in skills/influencer of vellum-ai/vellum-assistant.
Open the folder on GitHubat commit 33cc983
Influencer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Influencer this skillvellum-ai/vellum-assistant | 1.4k | — | ~982 | Automated safety check: Pass | MIT | |
| Influencer Discoverytigerless-labs/influencer-discovery | 212 | — | ~2.5k | Automated safety check: Notes | None | |
| Audience Fit Checkunifapi-agent/agents | 589 | — | ~2.5k | Automated safety check: Pass | MIT | |
| Creator Campaign Opsunifapi-agent/agents | 589 | — | ~2.9k | Automated safety check: Pass | MIT | |
| Creator Shortlistunifapi-agent/agents | 589 | — | ~2.3k | Automated safety check: Pass | MIT | |
| AI Social Media ContentNeverSight/learn-skills.dev | 217 | 1 repos | ~1.8k | Automated safety check: Pass | None |
tigerless-labs/influencer-discovery
Find the bloggers/creators who can help promote your work, capture their contact info, and append them to the target sheet in Google Sheets.
unifapi-agent/agents
When the user wants to vet a specific creator's audience fit and brand-safety before working with them.
unifapi-agent/agents
When the user wants a full-funnel influencer marketing campaign workflow: campaign setup, creator matching, budget and pricing forecast, outreach/confirmation pack, content review checklist, launch…
unifapi-agent/agents
When the user has a campaign brief and needs a ranked shortlist of creators to work with.
NeverSight/learn-skills.dev
Create AI-powered social media content for TikTok, Instagram, YouTube, Twitter/X.
browser-act/skills
Finds a company's official website and social profiles from its name, or collects social links from a website URL, using BrowserAct templates run by a Python script.
vellum-ai/vellum-assistant
Create and configure a GitHub App so the assistant can push commits, open PRs, and comment under its own bot identity.
vellum-ai/vellum-assistant
Connect a Discord bot to the assistant via the Discord Gateway with guided application creation and intent configuration
vellum-ai/vellum-assistant
Create and configure a Sentry internal integration so the assistant can manage issues, alerts, and releases under its own identity
vellum-ai/vellum-assistant
Ingest a large dataset into memory as a skimmed map. An agent skill from vellum-ai/vellum-assistant.
vellum-ai/vellum-assistant
A skill your agent uses when the user wants to build, scaffold, ship, or edit a Vellum plugin that bundles multiple surfaces (hooks, tools, skills, and more) into one installable package.
vellum-ai/vellum-assistant
Connect a Slack app to the Vellum Assistant via Socket Mode.
Works with
Categories
Research influencers on Instagram, TikTok, and X/Twitter through your browser. Influencer is an agent skill from vellum-ai/vellum-assistant.
Influencer fits situations like: tasks that involve Influencer and creator marketing.
Run `npx skills add vellum-ai/vellum-assistant --skill influencer -a claude-code`. Or copy the skill folder (skills/influencer in vellum-ai/vellum-assistant) into .claude/skills/influencer in your project. Claude Code loads it when a task matches its description.
Run `npx skills add vellum-ai/vellum-assistant --skill influencer -a codex`. Or copy the skill folder (skills/influencer in vellum-ai/vellum-assistant) into .agents/skills/influencer in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add vellum-ai/vellum-assistant --skill influencer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/influencer, .gemini/skills/influencer, .github/skills/influencer and .opencode/skills/influencer in your project.
Going by SKILL.md and its folder, Influencer needs TypeScript for the scripts in its folder and the command-line tools its instructions call (bun). Our summary lists: Node.js. Compatibility (from SKILL.md): Designed for Vellum personal assistants.
SKILL.md names 1 domain. In commands or code: instagram.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Influencer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 982 tokens (SKILL.md is roughly 3.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Influencer: Influencer Discovery (tigerless-labs/influencer-discovery, 212 stars), Audience Fit Check (unifapi-agent/agents, 589 stars), Creator Campaign Ops (unifapi-agent/agents, 589 stars) and Creator Shortlist (unifapi-agent/agents, 589 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
vellum-ai (a GitHub organization) maintains it in vellum-ai/vellum-assistant, which has 1,408 GitHub stars. The repository holds 108 skills in this directory. The repository was last updated on October 9, 2026.
Source: vellum-ai/vellum-assistant on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.